here_here
ISLR
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here_here
- Trying to understand an invalid path argument error
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alternate to using setwd to access subfolders.
Ode to the {here} package - Jenny Bryan
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What could would you use to tell rstudio "go to the current folder where this R script file is, and read X .csv file in this folder"? Also, what would you have googled to find this out? Windows laptop
This x1000. Remember kids, if you use setwd(), Jenny Bryan will set fire to your computer
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Is there easier way to change working directory?
You can navigate fairly easy within a project because here is unchanging. Some details: https://github.com/jennybc/here_here
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R Markdown: The Definitive Guide
You can avoid project related issues by using the here package.
https://github.com/jennybc/here_here
ISLR
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An Introduction to Statistical Learning with Applications in Python
It’s a well known machine learning book. I’ve read through it and done the exercises in R.
https://github.com/melling/ISLR
There’s an edX course from the authors:
https://www.edx.org/course/statistical-learning
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Introduction to statistical learning, 2nd edition
Looks like a few new chapters. e.g Deep Learning
I own the first edition. Made it through the entire book during the pandemic with a study partner.
There are other resources:
https://github.com/melling/ISLR
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R Markdown: The Definitive Guide
I recently discovered R Markdown. Started doing the ISLR examples with it.
https://github.com/melling/ISLR/blob/main/chapter08/08_Lab02...
https://github.com/melling/ISLR/blob/main/chapter08/08_Lab02...
I need to figure out how to better fit images so I don’t have pages with large gaps
Also, you can now embed executable Python in the files.
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The Elements of Statistical Learning [pdf]
I’m up to Chapter 6 in ISLR
https://github.com/melling/ISLR
Would Elements of Statistical Learning be my next book? I’ve seen the Bishop book highly recommended too.
https://www.amazon.com/Pattern-Recognition-Learning-Informat...
What are some alternatives?
rmarkdown - Dynamic Documents for R
the-elements-of-statistical-learning - My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
Neptune.jl - Simple (Pluto-based) non-reactive notebooks for Julia
Pluto.jl - 🎈 Simple reactive notebooks for Julia
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
StatsWithJuliaBook
islr-for-gis - A repository for the content that is used and generated while completing independent study on using statistical learning methods in GIS.
ISLR.jl - JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
codebraid - Live code in Pandoc Markdown